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Accession Number ADA582842
Title Computational Models of Anti-VEGF Therapies in Prostate Cancer.
Publication Date Jun 2013
Media Count 12p
Personal Author F. M. Gabhann
Abstract The vascular endothelial growth factor (VEGF) family of cytokines promotes vascularization, tumorigenesis and metastasis in many cancers. Our goal is to develop computational models that combine mechanistic topological data on the VEGF protein interaction network with gene expression datasets for a large population of prostate cancers. We have assembled databases of prostate cancer gene expression data, and analyzed the data using bioinformatic techniques, identifying key VEGF-based subgroups of prostate cancer plus biomarkers that identify these groups. We have also created new computational models to simulate prostate cancer, based on the individualized gene expression data. These models will be used to simulate therapies that target the pathway. The therapies to be tested include anti-ligands such as bevacizumab but also anti-receptors and small molecules such as tyrosine kinase inhibitors. In this way, we can build on both the successes and the failures of anti-VEGF trials to date in order to develop more effective therapies for prostate cancer. This progress will continue, and we will be able to develop models of therapies including bevacizumab and other drugs, in order to design improved therapeutic approaches (both for individuals and for the population).
Keywords Angiogenesis
Computational modeling
Flight speeds
Long range(Distance)
Personalized medicine
Prostate cancer
Prostate gland
Strike warfare
Supersonic characteristics
Systems analysis
Time sensitive targets
Weapon systems

Source Agency Non Paid ADAS
NTIS Subject Category 57E - Clinical Medicine
Corporate Author Johns Hopkins Univ., Baltimore, MD.
Document Type Technical report
Title Note Annual rept. 1 Jun 2012-31 May 2013.
NTIS Issue Number 1401
Contract Number W81XWH-12-1-0137

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